Max Robotics — Global Service Robot Directory + US Certification

About

Sardha Wijesoma has made pioneering contributions at the intersection of robotics, control theory, and autonomous navigation. His research spans three core areas: vision-guided robot control, robust manipulator trajectory tracking, and simultaneous localization and mapping (SLAM) for mobile robots. In his early work, Wijesoma developed foundational methods for eye-to-hand coordination in vision-guided robot control (80 citations), addressing the critical challenge of linking machine vision with robotic manipulation without relying on precise calibration. He also advanced robust control theory by integrating computed torque techniques with variable-structure systems (VSS) for accurate trajectory following of manipulators (66 citations). More recently, Wijesoma has been instrumental in advancing SLAM for autonomous ground vehicles, proposing a constrained SLAM approach that delivers robust and accurate localization even in challenging environments (43 citations). His innovative use of Rao-Blackwellized genetic algorithmic filters for SLAM in dynamic environments (14 citations) demonstrates his commitment to solving real-world navigation problems. Through decades of research, Wijesoma has bridged classical control theory with modern autonomous systems, leaving a lasting impact on both industrial robotics and field robotics.